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Biomonitoring of Polycyclic Aromatic Hydrocarbon in Perna perna from Guanabara Bay, Brazil

2005; Taylor & Francis; Volume: 6; Issue: 4 Linguagem: Inglês

10.1080/15275920500351759

1527-5922

Eleine Francioni, Ângela de Luca Rebello Wagener, Arthur L. Scofield, B. Cavalier,

Effects and risks of endocrine disrupting chemicals

The goal of the present work was to test the response of Perna perna to oil contamination in the marine environment. Mussels Perna perna were collected on several occasions from the pillars of Rio-Niteroi Bridge, Guanabara Bay, Rio de Janeiro, including after a major spill of MFO380 in January 2000. Condition index evaluation and neutral red assay were carried out in these mussels, which were also tested for polycyclic aromatic hydrocarbons (PAHs) concentration by using GC/MS. The PAH burden in mussels, analyzed before and after the oil spill, increased between 2 and 5 fold. This change was dominated by measurable increases in naphthalene, phenanthrene, dibenzothiophene, and their respective alkylated homologs. Although indicative ratios revealed petrogenic contamination after the spill, source indicative ratios for PAHs in the mussels differ from that for the oil. In agreement to what is reported in the literature for other bivalves, Perna perna responds reliably to variations in oil derived PAHs in the environment, proving to be a suitable biomonitor of petroleum contamination. Neutral red assay turned out to be a sensitive biomarker of alterations in mussels exposed to oil and made evident the occurrence of threshold reaction triggered by higher levels of contamination. Keywords: petroleum hydrocarbonsmarine bivalvesneutral red assay Acknowledgements Conselho Nacional de Desenvolvimento Cient (CNPq) (BR), Fundação de Amparo à Pesquisa do Rio de Janiero (FAPERJ) (BR) and Overseas Development Agency (ODA) (UK) are acknowledged for financial support. We are also grateful to Prof. Helio Heringer Villena (Dept. Oceonografia, UERJ) for preparing the map and Mr. André G. Cunha (PUC-Rio) the support on statistical analyses. We acknowledge the support of ALMARJ during field work.